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From integrating with IBM SPSS Modeler predictive analytics engine, to running optimization algorithms on cloud, to allowing for user collaboration and powerful visualizations in an intuitive user interface, IBM ILOG CPLEX. This video is about how to install IBM ILOG CPLEX Optimization Studio Community Edition (X86 - X64) on Kubuntu 16.04.X LTS (X64 or even X86) under VMware Wor.

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IBM ILOG CPLEX is the best known and most widely used large-scale solver. Its efficiency and robustness have been demonstrated over two decades in thousands of commercial installations worldwide.

Summary

Developer: IBM ILOG

Current version: 12.10

Problem types supported: Linear and quadratic optimization in continuous and integer variables. Support is provided for both convex and nonconvex quadratic objectives, and for convex quadratic constraints.

Special forms detected: Logical implications in the form of “indicator” constraints. Convex quadratic expressions in objectives, and convex quadratic constraints of elliptic and conic types.

Algorithms available: For continuous problems, primal and dual simplex, interior-point (barrier); for integer problems, advanced branch-and-bound with presolve, feasibility heuristics, and cut generators. For continuous problems comprised mostly or entirely of linear network flow constraints, network simplex.

Special features: Shared-memory parallel processing for barrier, branch-and-bound. Concurrent optimization by several methods to determine best choice. Special facilities for parameter tuning and infeasibility diagnosis.

See also:ILOG CP for AMPL, covered by the CPLEX for AMPL license, for access to constraint programming and more general CPLEX handling of logical constraints.

Further information

CPLEX Optimization website
CPLEX for AMPL option listing
CPLEX for AMPL 12.2 User’s Guide including option descriptions
CPLEX-AMPL interface source code with makefiles and instructions

Instructions for joining the IBM Academic Initiative

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Transform your business decision-making with data science

IBM ILOG® CPLEX® Optimization Studio uses decision optimization technology to optimize your business decisions, develop and deploy optimization models quickly, and create real-world applications that can significantly improve business outcomes.

How? IBM ILOG CPLEX Optimization Studio is a prescriptive analytics solution that enables rapid development and deployment of decision optimization models using mathematical and constraint programming. It combines a fully featured integrated development environment that supports Optimization Programming Language (OPL) and the high-performance CPLEX and CP Optimizer solvers. It’s data science for your decisions.

CPLEX Optimization Studio 12.10 includes significant performance improvements and more

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CPLEX Optimization Studio 12.10 includes significant performance improvements and more Explore what’s new

What's new in IBM ILOG CPLEX Optimization Studio

Machine learning for faster optimization

IBM CPLEX implements a machine learning-based algorithm to make automatic decisions and speed up mixed integer quadratic problem-solving.

Faster solver performance

Solve multi-objective problems with CPLEX, including hierarchical, blended, or combinations of both.

Automatic benders decomposition

Get significant performance improvements for MIP and MIQP problems, as well as constraint programming and constraint-based scheduling.

Download and go

Get up and running in less than 15 minutes with the Developer option, now available in monthly and annual subscriptions.

Benefits of IBM ILOG CPLEX Optimization Studio

Replace intuition with factual decisions

Translate business problems to optimization models and solve them using powerful CPLEX engines.

Solve a range of optimization problems

Uncover mathematical programming, constraint programming, and constraint-based models using CPLEX engines.

Choose your deployment

Choose from on-premises, cloud and hybrid deployment options to successfully deliver prescriptive analytics through mathematical and constraint programming.

Gain better outcomes for many industries

A major transportation company reduced operating costs by USD 26 million annually through better allocation of rolling stock by using IBM ILOG CPLEX Optimization Studio.

Why IBM ILOG CPLEX Optimization Studio is the best choice for making decisions

Proven optimization technology with more than 25 years experience

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Choose a provider with decades of proven expertise in optimization technology. The prestigious Edelman Prize is given each year to the best practitioner project in operations research. Edelman finalists have used IBM CPLEX Optimizer four times more than any other optimization technology to build innovative solutions for solving difficult challenges.

Provides a comprehensive end-to-end solution for solving complex problems

From integrating with IBM SPSS Modeler predictive analytics engine, to running optimization algorithms on cloud, to allowing for user collaboration and powerful visualizations in an intuitive user interface, IBM ILOG CPLEX Optimization Studio provides a comprehensive end-to-end solution for even the most complex challenges.

Enables development and deployment of optimization models quickly and accurately

Use OPL, an algebraic modeling language that makes it easier to understand and see constraints, goals and costs. Choose from a large set of interfaces, programming languages or deployment scenarios. Deploy in Java, Python, .NET, C and C++ or with a client/server architecture. Use built-in development tools for debugging, profiling, tuning and conflict detection. Enjoy total flexibility for modeling with a compact and expressive OPL, and an IDE with diverse model development services that no other organization provides.

Provides one solution for many industries

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Leading organizations from various industries across the world use IBM ILOG CPLEX Optimization Studio to achieve better outcomes. Here are some examples: A global logistics provider creates its next-generation logistics management platform. An arc welding systems and power source manufacturer in Italy reduces inventory by 15 percent and cuts lost orders by 70 percent. A financial services company helps banks reduce cross-shipping fees by 63 percent.

Testimonials

Technically, CPLEX is very easy to deploy and to implement into the techniques we were developing in our framework. So that was key in our decision.

  • Birome Holo Ba, PhD
  • Cofounder and CSO
  • BioSCO SAS

You can’t just write regular programming code for it. You’ve got to model each of these things in an equation, and you’ve got to get that equation balanced and optimized. What CPLEX does is it actually solves this thing.

  • Amanda Kabak
  • CTO and Principal Architect
  • CleanSpark

The main advantage of the IBM technology for us as a startup was fast time-to-market, as well as its ability to handle many different types of variables and objectives, control numerous parameters, and handle infeasible problems.

  • Amit Godel
  • CTO
  • BondIT

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Which option is right for you?

Free edition

Explore and learn optimization and constraint programming modeling with the free edition of IBM ILOG CPLEX Optimization Studio.

Developer Subscription

This fully featured development environment for mathematical and constraint programming models has no limitation on model size.

Other licensing options

Download
Deploy applications for internal business purposes or for third parties.

Featured partner solutions

Optimization Direct

Combines a new algorithm, ODHeuristics, with CPLEX in the ODH-CPLEX Optimizer specifically to find solutions in massive MIP models of the big data era.

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DecisionBrain

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Math.Tec

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Expert resources to help you succeed

Quick links

  • CPLEX Optimizer

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  • CPLEX CP Optimizer

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  • Decision Optimization